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Nakagawa T, Santos J, Nasamran CA, Sen P, Sadat S, Monther A, Bendik J, Ebisumoto K, Hu J, Preissl S, Guo T, Vavinskaya V, Fisch KM, Califano JA. Defining the relationship of salivary gland malignancies to novel cell subpopulations in human salivary glands using single nucleus RNA-sequencing. Int J Cancer 2024; 154:1492-1503. [PMID: 37971144 DOI: 10.1002/ijc.34790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 09/26/2023] [Accepted: 10/17/2023] [Indexed: 11/19/2023]
Abstract
Salivary glands have essential roles in maintaining oral health, mastication, taste and speech, by secreting saliva. Salivary glands are composed of several types of cells, and each cell type is predicted to be involved in the carcinogenesis of different types of cancers including adenoid cystic carcinoma (ACC), acinic cell carcinoma (AciCC), salivary duct carcinoma (SDC), myoepithelial carcinoma (MECA) and other histology. In our study, we performed single nucleus RNA-seq on three human salivary gland samples to clarify the gene expression profile of each complex cellular component of the salivary glands and related these expression patterns to expression found in salivary gland cancers (SGC) to infer cell of origin. By single nucleus RNA-seq, salivary gland cells were stratified into four clusters: acinar cells, ductal cells 1, ductal cells 2 and myoepithelial cells/stromal cells. The localization of each cell group was verified by IHC of each cluster marker gene, and one group of ductal cells was found to represent intercalated ductal cells labeled with HES1. Furthermore, in comparison with SGC RNA-seq data, acinar cell markers were upregulated in AciCC, but downregulated in ACC and ductal cell markers were upregulated in SDC but downregulated in MECA, suggesting that markers of origin are highly expressed in some SGC. Cell type expressions in specific SGC histology are similar to those found in normal salivary gland populations, indicating a potential etiologic relationship.
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Affiliation(s)
- Takuya Nakagawa
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Jessica Santos
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Chanond A Nasamran
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, California, USA
| | - Prakriti Sen
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Sayed Sadat
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Abdula Monther
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Joseph Bendik
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Koji Ebisumoto
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Jingjing Hu
- Department of Pathology, University of California San Diego, San Diego, California, USA
| | - Sebastian Preissl
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California, USA
| | - Theresa Guo
- Division of Otolaryngology - Head and Neck Surgery, Department of Surgery, University of California San Diego, La Jolla, California, USA
| | - Vera Vavinskaya
- Department of Pathology, University of California San Diego, San Diego, California, USA
| | - Kathleen M Fisch
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, California, USA
| | - Joseph A Califano
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
- Division of Otolaryngology - Head and Neck Surgery, Department of Surgery, University of California San Diego, La Jolla, California, USA
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Liu L, Qu Y, Cheng L, Yoon CW, He P, Monther A, Guo T, Chittle S, Wang Y. Engineering chimeric antigen receptor T cells for solid tumour therapy. Clin Transl Med 2022; 12:e1141. [PMID: 36495108 PMCID: PMC9736813 DOI: 10.1002/ctm2.1141] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 11/22/2022] [Accepted: 11/26/2022] [Indexed: 12/13/2022] Open
Abstract
Cell-based immunotherapy, for example, chimeric antigen receptor T (CAR-T) cell immunotherapy, has revolutionized cancer treatment, particularly for blood cancers. However, factors such as insufficient T cell tracking, tumour heterogeneity, inhibitory tumour microenvironment (TME) and T cell exhaustion limit the broad application of CAR-based immunotherapy for solid tumours. In particular, the TME is a complex and evolving entity, which is composed of cells of different types (e.g., cancer cells, immune cells and stromal cells), vasculature, soluble factors and extracellular matrix (ECM), with each component playing a critical role in CAR-T immunotherapy. Thus, developing approaches to mitigate the inhibitory TME factors is critical for future success in applying CAR-T cells for solid tumour treatment. Accordingly, understanding the bilateral interaction of CAR-T cells with the TME is in pressing need to pave the way for more efficient therapeutics. In the following review, we will discuss TME-associated aspects with an emphasis on T cell trafficking, ECM barriers, abnormal vasculature, solid tumour heterogenicity and immune suppressive microenvironment. We will then summarize current engineering strategies to overcome the challenges posed by the TME-associated factors. Lastly, the future directions for engineering efficient CAR-T cells for solid tumour therapy will be discussed.
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Affiliation(s)
- Longwei Liu
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Yunjia Qu
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Leonardo Cheng
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Chi Woo Yoon
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Peixiang He
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Abdula Monther
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Tianze Guo
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Sarah Chittle
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
| | - Yingxiao Wang
- Department of BioengineeringInstitute of Engineering in MedicineUniversity of CaliforniaLa JollaCaliforniaUSA
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